#!/bin/bash

config_path=./conf/default.yaml
AM_DATA_ROOT=/home/aistudio/exps/fastspeech2_thorsten
VOC_DATA_ROOT=/home/aistudio/exps/pwgan_thorsten
train_output_path=$AM_DATA_ROOT/train
voc_train_output_path=$VOC_DATA_ROOT/train
stage=0
stop_stage=0
# python3 ${BIN_DIR}/../synthesize_e2e.py --am=fastspeech2_thorsten --am_config=/home/output/train/default.yaml --am_stat=/home/output/dump1/train/speech_stats.npy --voc=pwgan_thorsten --voc_config=/home/output/pwgan_train/default.yaml --am_ckpt=/home/output/train/checkpoints/snapshot_iter_47554.pdz --voc_ckpt=/home/output/pwgan_train/checkpoints/pwg_snapshot_iter_400000.pdz --voc_stat=/home/output/pwgan_train/pwg_stats.npy --lang=ge --text=${BIN_DIR}/../sentences_ge.txt --output_dir=/home/output/test_e2e/ --inference_dir=/home/output/inference/ --phones_dict=/home/output/dump1/phone_id_map.txt
# pwgan
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
#    FLAGS_allocator_strategy=naive_best_fit \
#    FLAGS_fraction_of_gpu_memory_to_use=0.01 \
    python3 ${BIN_DIR}/../synthesize_e2e.py \
        --am=fastspeech2_thorsten \
        --am_config=${train_output_path}/default.yaml \
        --am_ckpt=${train_output_path}/checkpoints/snapshot_iter_52390.pdz \
        --am_stat=${AM_DATA_ROOT}/dump/train/speech_stats.npy \
        --voc=pwgan_thorsten \
        --voc_config=${voc_train_output_path}/default.yaml \
        --voc_ckpt=${voc_train_output_path}/checkpoints/snapshot_iter_35000.pdz  \
        --voc_stat=${voc_train_output_path}/feats_stats.npy \
        --lang=ge \
        --text=${BIN_DIR}/../sentences_ge.txt \
        --output_dir=${AM_DATA_ROOT}/test_e2e \
        --inference_dir=${AM_DATA_ROOT}/inference \
        --phones_dict=${AM_DATA_ROOT}/dump/phone_id_map.txt
fi

# hifigan
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
    FLAGS_allocator_strategy=naive_best_fit \
    FLAGS_fraction_of_gpu_memory_to_use=0.01 \
    python3 ${BIN_DIR}/../synthesize_e2e.py \
        --am=fastspeech2_ljspeech \
        --am_config=${config_path} \
        --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
        --am_stat=dump/train/speech_stats.npy \
        --voc=hifigan_ljspeech \
        --voc_config=hifigan_ljspeech_ckpt_0.2.0/default.yaml \
        --voc_ckpt=hifigan_ljspeech_ckpt_0.2.0/snapshot_iter_2500000.pdz \
        --voc_stat=hifigan_ljspeech_ckpt_0.2.0/feats_stats.npy \
        --lang=en \
        --text=${BIN_DIR}/../sentences_en.txt \
        --output_dir=${train_output_path}/test_e2e \
        --inference_dir=${train_output_path}/inference \
        --phones_dict=dump/phone_id_map.txt
fi
